Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
FBS: Modeling Native Parallel Reading inside a Transformer
arXiv:2601.21708v2 Announce Type: replace Abstract: Large language models (LLMs) excel across many tasks, yet inference is still dominated by strictly…
Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning
arXiv:2510.18034v2 Announce Type: replace-cross Abstract: Autonomous driving systems remain critically vulnerable to the long-tail of rare, out-of-distribution semantic anomalies. While…
Q-Probe: Scaling Image Quality Assessment to High Resolution via Context-Aware Agentic Probing
arXiv:2601.15356v3 Announce Type: replace-cross Abstract: Reinforcement Learning (RL) has empowered Multimodal Large Language Models (MLLMs) to achieve superior human preference…
In-Context Decision Making for Optimizing Complex AutoML Pipelines
arXiv:2508.13657v2 Announce Type: replace-cross Abstract: Combined Algorithm Selection and Hyperparameter Optimization (CASH) has been fundamental to traditional AutoML systems. However,…
On the Robustness of Diffusion-Based Image Compression to Bit-Flip Errors
arXiv:2604.05743v2 Announce Type: replace-cross Abstract: Modern image compression methods are typically optimized for the rate–distortion–perception trade-off, whereas their robustness to…
High-Precision Estimation of the State-Space Complexity of Shogi via the Monte Carlo Method
arXiv:2604.06189v1 Announce Type: new Abstract: Determining the state-space complexity of the game of Shogi (Japanese Chess) has been a challenging…
Governance and Regulation of Artificial Intelligence in Developing Countries: A Case Study of Nigeria
arXiv:2604.06018v2 Announce Type: replace-cross Abstract: This study examines the perception of legal professionals on the governance of AI in developing…
On the Step Length Confounding in LLM Reasoning Data Selection
arXiv:2604.06834v1 Announce Type: cross Abstract: Large reasoning models have recently demonstrated strong performance on complex tasks that require long chain-of-thought…
Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation
arXiv:2604.06831v1 Announce Type: cross Abstract: Current LLM-based services typically require users to submit raw text regardless of its sensitivity. While…
Bridging Natural Language and Microgrid Dynamics: A Context-Aware Simulator and Dataset
arXiv:2604.05429v2 Announce Type: replace-cross Abstract: Addressing the critical need for intelligent, context-aware energy management in renewable systems, we introduce the…